About

I am an independent researcher investigating the evolution of Marketing Automation from static rule-based systems to Generative AI decisioning. My work challenges the industry's reliance on "static segments" (e.g., demographics), arguing that they suffer from a latency problem where data becomes obsolete before a campaign is even launched.

My primary focus is on defining the "Liquid Audience", a concept where marketing segments are treated as temporary states of intent that exist only for the duration of a specific signal. I combine this with Behavioral Science to ensure that while AI handles the scale of automation, psychological principles guide the quality of the interaction.

Areas of Interest

Data Science Marketing Analytics or Computational Social Science